However, prioritizing replay creates a bias in learning towards samples with high TD-Error as they are sampled more often. To avoid this, importance weights [1]} are attached to each tuple, given by:
\(w_i=(\frac{1}{|\mathcal {B}|\cdot P(i)})^\beta \) 
